气候变化领域集成服务门户(CCPortal): Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework

CCPortal

DOI	10.5194/acp-21-13131-2021
	Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework
	Jones T.S.; Franklin J.E.; Chen J.; Dietrich F.; Hajny K.D.; Paetzold J.C.; Wenzel A.; Gately C.; Gottlieb E.; Parker H.; Dubey M.; Hase F.; Shepson P.B.; Mielke L.H.; Wofsy S.C.
发表日期	2021
ISSN	1680-7316
起始页码	13131
结束页码	13147
卷号	21 期号:17
英文摘要	Cities represent a large and concentrated portion of global greenhouse gas emissions, including methane. Quantifying methane emissions from urban areas is difficult, and inventories made using bottom-up accounting methods often differ greatly from top-down estimates generated from atmospheric observations. Emissions from leaks in natural gas infrastructure are difficult to predict and are therefore poorly constrained in bottom-up inventories. Natural gas infrastructure leaks and emissions from end uses can be spread throughout the city, and this diffuse source can represent a significant fraction of a city's total emissions. We investigated diffuse methane emissions of the city of Indianapolis, USA, during a field campaign in May 2016. A network of five portable solar-tracking Fourier transform infrared (FTIR) spectrometers was deployed throughout the city. These instruments measure the mole fraction of methane in a total column of air, giving them sensitivity to larger areas of the city than in situ sensors at the surface. We present an innovative inversion method to link these total column concentrations to surface fluxes. This method combines a Lagrangian transport model with a Bayesian inversion framework to estimate surface emissions and their uncertainties, together with determining the concentrations of methane in the air flowing into the city. Variations exceeding 10ĝ€¯ppb were observed in the inflowing air on a typical day, which is somewhat larger than the enhancements due to urban emissions (<5ĝ€¯ppb downwind of the city). We found diffuse methane emissions of 73(±22)ĝ€¯mols-1, which is about 50ĝ€¯% of the urban total and 68ĝ€¯% higher than estimated from bottom-up methods, although it is somewhat smaller than estimates from studies using tower and aircraft observations. The measurement and model techniques developed here address many of the challenges present when quantifying urban greenhouse gas emissions and will help in the design of future measurement schemes in other cities. © 2021 The Author(s).
语种	英语
scopus关键词	assessment method; atmospheric chemistry; Bayesian analysis; column; concentration (composition); data inversion; FTIR spectroscopy; methane; Indiana; Indianapolis; United States
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246603
作者单位	School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States; Department of Earth and Environment, Boston University, Boston, MA, United States; Environmental Sensing and Modeling, Technical University of Munich (TUM), Munich, Germany; Department of Earth, Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN, United States; Los Alamos National Laboratory, Los Alamos, NM, United States; Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, United States; Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany; Department of Chemistry, University of Indianapolis, Indianapolis, IN, United States
推荐引用方式 GB/T 7714	Jones T.S.,Franklin J.E.,Chen J.,et al. Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework[J],2021,21(17).
APA	Jones T.S..,Franklin J.E..,Chen J..,Dietrich F..,Hajny K.D..,...&Wofsy S.C..(2021).Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(17).
MLA	Jones T.S.,et al."Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.17(2021).